Nov 21, 2024 · PDF | Convolutional neural network (or CNN) is a special type of multilayer neural network or deep learning architecture inspired by the visual system.

3 days ago · The purpose of this work is to compare the results of identifying situations using the Hopfield associative network and Haken's synergetic model. 2 General ...

Nov 12, 2024 · Researchers can use trained neural networks to predict the design performance of a device configuration, and a practical structural solution can also be ...

Nov 21, 2024 · In this paper, a review of some of the main contributions for hybrid ANNs is given, considering three points of views: models, algorithms and data.

Nov 6, 2024 · A maintained and curated list of practical and awesome responsible machine learning resources. If you want to contribute to this list (and please do!),

Nov 27, 2024 · In this study, the proposal involves the review and comparison of energy consumption of the popular Artificial Neural Network architectures implemented on the ...

3 days ago · The evolution of oxidation states on the atoms of a system follows redox reactions, electrolysis, and many other crucial electrochemical processes. These ...

Nov 8, 2024 · This study presents a neuromorphic, spiking backpropagation algorithm based on synfire-gated dynamical information coordination and processing

7 days ago · DeepXDE can solve forward problems given initial and boundary conditions, as well as inverse problems given some extra measurements.

Nov 22, 2024 · This PyTorch deep learning book will help you uncover expert techniques to get the most out of your data and build complex neural network models.